{"id":"https://openalex.org/W2744757309","doi":"https://doi.org/10.18293/seke2017-034","title":"Is the Number of Faults Helpful for Cross-Company Defect Prediction?","display_name":"Is the Number of Faults Helpful for Cross-Company Defect Prediction?","publication_year":2017,"publication_date":"2017-07-05","ids":{"openalex":"https://openalex.org/W2744757309","doi":"https://doi.org/10.18293/seke2017-034","mag":"2744757309"},"language":"en","primary_location":{"id":"doi:10.18293/seke2017-034","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2017-034","pdf_url":"https://doi.org/10.18293/seke2017-034","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2017-034","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091618868","display_name":"Yiyang Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Jing","raw_affiliation_strings":["State Key Lab. of Software Engineering, Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Software Engineering, Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713654","display_name":"Zhang Jian-sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiansheng Zhang","raw_affiliation_strings":["School of Computer Science and Information Engineering, HuBei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, HuBei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079608529","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0002-7145-8006"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Liu","raw_affiliation_strings":["State Key Lab. of Software Engineering, Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Software Engineering, Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079608529"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13912738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","issue":null,"first_page":"111","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9559000134468079,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9559000134468079,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9373000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.935699999332428,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5016891956329346},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.36932042241096497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15522202849388123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5016891956329346},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.36932042241096497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15522202849388123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2017-034","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2017-034","pdf_url":"https://doi.org/10.18293/seke2017-034","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2017-034","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2017-034","pdf_url":"https://doi.org/10.18293/seke2017-034","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1512528976","display_name":null,"funder_award_id":"U163620","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G250828915","display_name":null,"funder_award_id":"61572374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2819363858","display_name":"EDU:Collaborative: VACCS - Visualization and Analysis for C Code Security","funder_award_id":"1522883","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2870525900","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3591242020","display_name":"NEESR: Near Collapse Performance of Existing Reinforced Concrete Frame Buildings","funder_award_id":"1135005","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5675371398","display_name":null,"funder_award_id":"DGE-1522883","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5765857757","display_name":null,"funder_award_id":"U1135005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6466831794","display_name":null,"funder_award_id":"U163620068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2744757309.pdf","grobid_xml":"https://content.openalex.org/works/W2744757309.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W168970045","https://openalex.org/W1877763529","https://openalex.org/W2021688474","https://openalex.org/W2034445489","https://openalex.org/W2037691959","https://openalex.org/W2055949897","https://openalex.org/W2064330644","https://openalex.org/W2069569831","https://openalex.org/W2101227285","https://openalex.org/W2108561737","https://openalex.org/W2119456790","https://openalex.org/W2130128436","https://openalex.org/W2171665309","https://openalex.org/W2281126320","https://openalex.org/W2395059193","https://openalex.org/W2408200640","https://openalex.org/W2509246479","https://openalex.org/W2515510560","https://openalex.org/W2560646185","https://openalex.org/W2561125406","https://openalex.org/W2561451072","https://openalex.org/W2569856561","https://openalex.org/W6684989136"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"In":[0,177],"the":[1,12,20,25,39,42,47,50,54,60,63,82,102,111,121,124,129,136,157,170,174,178,182,188,191,196,202,225,243],"field":[2],"of":[3,41,65,94,123,126,131,138,142,159,165,180,198,212,227,245],"Cross-company":[4],"Defect":[5],"Prediction":[6],"(CCDP),":[7],"how":[8],"to":[9,14,30,37,88,101,119,200],"deal":[10,73],"with":[11,74,77],"data":[13,44,52,171,192],"make":[15],"it":[16],"more":[17],"accurately":[18],"predict":[19],"cross-company":[21],"software":[22],"defects":[23,132,199,228],"is":[24,36,115,236],"focus":[26],"problem":[27],"we":[28,72,117,148,184,208],"need":[29,118],"consider.":[31],"Now":[32],"a":[33,91,107,139,150,210],"mainstream":[34],"idea":[35],"determine":[38],"weight":[40,83,97,105,145,169],"training":[43,51],"based":[45],"on":[46,62,110,215],"similarity":[48,189],"between":[49,190],"and":[53,57,172,241],"test":[55],"set,":[56],"then":[58],"build":[59,173],"model":[61,155],"basis":[64],"these":[66],"weighted":[67],"data.":[68,206],"However,":[69],"sometimes,":[70],"when":[71],"some":[75,233,248],"problems":[76],"imbalance":[78],"class,":[79],"directly":[80],"using":[81],"calculated":[84],"above":[85],"may":[86],"lead":[87,100],"errors.":[89],"Because":[90],"large":[92,140],"number":[93,125,130,141,158,197,226],"non-defective":[95,143,239],"instance's":[96,104,144],"accumulation":[98],"will":[99,133],"defective":[103,160,234],"has":[106],"little":[108],"impact":[109,137],"final":[112,203],"result.":[113],"This":[114],"why":[116],"consider":[120,187,195],"addition":[122],"defects.":[127],"Considering":[128],"effectively":[134,231],"eliminate":[135],"accumulation.":[146],"Therefore,":[147],"propose":[149],"Transfer-learning":[151],"Na":[152],"ve":[153],"Bayes":[154],"considering":[156,224],"information(NTNB).":[161],"The":[162,220],"method":[163],"consists":[164],"two":[166],"major":[167],"stages:":[168],"prediction":[175,246],"model.":[176],"stage":[179],"weighting":[181],"data,":[183],"not":[185],"only":[186],"but":[193],"also":[194],"get":[201],"weights":[204],"for":[205],"And":[207],"conducted":[209],"set":[211],"comparative":[213],"experiments":[214],"six":[216],"open":[217],"crosscompany":[218],"datasets.":[219],"results":[221],"show":[222],"that":[223],"information":[229],"can":[230],"avoid":[232],"instance":[235],"misjudged":[237],"as":[238],"instance,":[240],"improve":[242],"accuracy":[244],"in":[247],"unbalanced":[249],"problems.":[250]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}